You should not use a variable as both a grouping variable and an analysis variable. You should do this as a single-group analysis leaving the variable as continuous and using XWITH. You can use DEFINE to create an interaction only if both variables are observed.

The program indicated that the model is too large and the memory is not enough (after release all the possible memory). I tried to run just one moderator with three interaction effects, the program indicates that there are 50625 integration points. What would be the best alternative given this circumstance?

2. I have tested the model fit before incorporating interaction terms. How I can evaluate the model fit for the model with interaction terms? I did not see any fit indices in the output?

I am sorry to trouble you again, but I have a follow up question. For Type = Random, the model results are unstandardized. In order to report the corresponding standardized statistics, I need to manually calculate?

For my study, I have a hypothesis of relationships of Y on X, and another hypothesis of the interaction effect of X and Z influencing Y. For testing the first hypothesis, should its coefficient be based on the model without or with interaction? I am asking this is because I found out that coefficient are very different between the model with and without interactions.

Hello Drs. Muthen, I have a question: Is it possible to create an interaction term between the following independent variables? latent categorical variable manifest categorical variable manifest continuous variable

In know how to define interactions terms with the asterix and with the xwith command, but I ask myself how to combine those commands to analyze a three-way-interaction.